NOTICE — Inpainting / object removal — MI-GAN 512 Places2 pipeline (ONNX)
Model id: inpaint-migan (v1)   Redistributed by MokshX Pvt Ltd as a downloadable component of Moksh PDF Editor.

Authors / copyright: Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi — Picsart AI Research (ICCV 2023)
Licence: MIT
Licence text: https://raw.githubusercontent.com/Picsart-AI-Research/MI-GAN/main/LICENSE-WEIGHTS
Upstream: https://huggingface.co/andraniksargsyan/migan
Source repository: https://github.com/Picsart-AI-Research/MI-GAN

Licence evidence recorded at publish time:
  - LICENSE-WEIGHTS text: "MIT License" / "Copyright (c) 2024 Picsart AI Research (PAIR)" — no commercial restriction
  - Code LICENSE (same repo): MIT, same copyright line
  - HF repo andraniksargsyan/migan (linked from the official README as the pre-converted ONNX pipeline): tag license:mit + LICENSE file with the identical MIT text

Files (SHA-256):
  6f1f3530a1a2324b19752018ce756088b07973cda8d7d890034ace5c8a48c40b  migan_pipeline_v2.onnx  (28079181 bytes)

MIT License — the copyright notice above and this permission notice shall be included in all copies or substantial portions of the Software.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the above condition.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Notes: No GitHub release assets exist for MI-GAN; the official README points to the HF file above. Use small incremental brush strokes for large holes (README advice).

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